Datasets:

humblefool06
/

bnb-usdt-2h-candles

timestamp int64 1,510B 1,787B	open float64 1.3 1.35k	high float64 1.53 1.38k	low float64 0.5 1.34k	close float64 1.49 1.35k	volume float64 0 3.62M
1,509,933,600,000	1.5	1.799	0.5	1.7	649.12
1,509,940,800,000	1.3	1.65	1.3	1.5458	14,775.92
1,509,948,000,000	1.5458	1.681	1.5387	1.625	37,706.63
1,509,955,200,000	1.6011	1.6379	1.58	1.6366	12,532.03
1,509,962,400,000	1.601	1.676	1.6	1.6288	9,210.39
1,509,969,600,000	1.6288	1.6288	1.5803	1.6	6,323.53
1,509,976,800,000	1.5805	1.6148	1.5645	1.6148	15,863
1,509,984,000,000	1.6148	1.631	1.57	1.5829	7,604.5
1,509,991,200,000	1.5868	1.6028	1.5645	1.5868	4,165.31
1,509,998,400,000	1.5948	1.598	1.556	1.571	4,336.76
1,510,005,600,000	1.5789	1.5868	1.55	1.571	7,448.15
1,510,012,800,000	1.571	1.5948	1.5389	1.5389	7,399.27
1,510,020,000,000	1.5389	1.6188	1.5389	1.6188	957.99
1,510,027,200,000	1.6184	1.6188	1.5548	1.602	11,182.7
1,510,034,400,000	1.59	1.59	1.5705	1.5705	3,060.47
1,510,041,600,000	1.59	1.595	1.5548	1.5864	1,236.9
1,510,048,800,000	1.5864	1.6184	1.565	1.5864	3,343.92
1,510,056,000,000	1.6183	1.6266	1.5801	1.5942	8,238.75
1,510,063,200,000	1.6023	1.7885	1.6023	1.7353	52,264.55
1,510,070,400,000	1.7191	1.799	1.6593	1.7704	31,333.78
1,510,077,600,000	1.7616	1.799	1.7288	1.799	4,035.57
1,510,084,800,000	1.79	1.7989	1.7196	1.72	1,744.02
1,510,092,000,000	1.7196	1.8	1.7196	1.8	9,331.81
1,510,099,200,000	1.7901	1.946	1.7479	1.8013	32,443.31
1,510,106,400,000	1.8025	1.8999	1.77	1.81	15,030.24
1,510,113,600,000	1.8891	1.99	1.838	1.87	33,230.45
1,510,120,800,000	1.8789	1.988	1.8235	1.8631	7,746.17
1,510,128,000,000	1.9448	1.9448	1.8757	1.935	6,728.96
1,510,135,200,000	1.935	1.935	1.8736	1.8736	8,276.53
1,510,142,400,000	1.87	1.8998	1.821	1.8369	16,603.61
1,510,149,600,000	1.8369	1.93	1.8368	1.93	18,374.1
1,510,156,800,000	1.9249	1.95	1.849	1.93	10,447.35
1,510,164,000,000	1.94	1.99	1.78	1.95	88,120.44
1,510,171,200,000	1.91	1.99	1.9	1.9	35,473.34
1,510,178,400,000	1.9	1.9899	1.875	1.9889	74,815.76
1,510,185,600,000	1.9781	1.9999	1.9	1.999	21,675.25
1,510,192,800,000	1.998	2.05	1.931	2.05	23,113.59
1,510,200,000,000	1.96	2.0295	1.96	2	6,171.57
1,510,207,200,000	2	2.02	1.9808	2.0182	8,630.85
1,510,214,400,000	2.0182	2.0497	2	2.035	19,007.23
1,510,221,600,000	2.02	2.07	1.9704	2.0001	52,311.7
1,510,228,800,000	2.0599	2.1	2.0118	2.066	31,741.82
1,510,236,000,000	2.0661	2.1997	2.066	2.0711	57,034.11
1,510,243,200,000	2.11	2.1289	2.08	2.11	13,888.66
1,510,250,400,000	2.1289	2.1302	2.0921	2.1294	4,600.58
1,510,257,600,000	2.1279	2.1279	2.0201	2.0201	6,695.22
1,510,264,800,000	2.0201	2.026	1.9	1.99	42,166.62
1,510,272,000,000	1.99	2.02	1.9602	1.9881	12,545.77
1,510,279,200,000	1.9976	2.02	1.9	1.9498	58,760.82
1,510,286,400,000	1.94	1.9497	1.895	1.93	21,924.16
1,510,293,600,000	1.9	1.9488	1.8923	1.895	7,903.66
1,510,300,800,000	1.9459	2.0101	1.85	1.85	81,229.06
1,510,308,000,000	1.8335	1.92	1.7998	1.7998	36,069.95
1,510,315,200,000	1.7998	1.825	1.6631	1.798	94,624.92
1,510,322,400,000	1.7705	1.775	1.7	1.7723	42,237.87
1,510,329,600,000	1.744	1.89	1.718	1.828	26,743.64
1,510,336,800,000	1.797	1.797	1.6168	1.6501	41,941.73
1,510,344,000,000	1.67	1.7912	1.6019	1.751	13,571.74
1,510,351,200,000	1.751	1.8799	1.712	1.7133	47,105.58
1,510,358,400,000	1.79	1.9	1.79	1.8825	38,918.61
1,510,365,600,000	1.9	1.925	1.85	1.8799	33,583.51
1,510,372,800,000	1.9178	1.9179	1.82	1.837	12,481.2
1,510,380,000,000	1.838	1.8772	1.8001	1.848	7,781.45
1,510,387,200,000	1.8023	1.8471	1.8006	1.8461	5,171.31
1,510,394,400,000	1.8211	1.8461	1.69	1.7304	30,524.98
1,510,401,600,000	1.7304	1.7304	1.585	1.66	73,970.22
1,510,408,800,000	1.66	1.6998	1.58	1.6	24,269.47
1,510,416,000,000	1.65	1.67	1.58	1.67	13,101.84
1,510,423,200,000	1.65	1.7	1.623	1.7	2,906.89
1,510,430,400,000	1.6521	1.7	1.6521	1.6999	7,760.65
1,510,437,600,000	1.69	1.69	1.6401	1.655	8,368.24
1,510,444,800,000	1.6567	1.6567	1.595	1.6038	16,807.6
1,510,452,000,000	1.5952	1.6153	1.5	1.53	89,699.07
1,510,459,200,000	1.51	1.5999	1.47	1.49	53,717.86
1,510,466,400,000	1.4908	1.62	1.34	1.5302	131,431.41
1,510,473,600,000	1.5676	1.7	1.51	1.58	31,747.2
1,510,480,800,000	1.58	1.6689	1.58	1.5851	19,366.79
1,510,488,000,000	1.6003	1.6792	1.5313	1.5888	33,541.1
1,510,495,200,000	1.5887	1.669	1.56	1.575	31,969.82
1,510,502,400,000	1.575	1.6389	1.53	1.531	16,987.77
1,510,509,600,000	1.59	1.62	1.5058	1.5879	12,041.89
1,510,516,800,000	1.5879	1.6	1.51	1.549	7,823.13
1,510,524,000,000	1.5059	1.6	1.45	1.49	12,026.08
1,510,531,200,000	1.5	1.6	1.5	1.577	2,204.54
1,510,538,400,000	1.57	1.6	1.57	1.5995	4,016.1
1,510,545,600,000	1.5995	1.65	1.5406	1.5905	27,583.78
1,510,552,800,000	1.6387	1.639	1.5908	1.5933	24,223.8
1,510,560,000,000	1.6298	1.6995	1.6	1.6995	21,400.51
1,510,567,200,000	1.6994	1.7381	1.65	1.71	20,289.11
1,510,574,400,000	1.7039	1.7097	1.6602	1.6674	17,565.75
1,510,581,600,000	1.6674	1.705	1.6428	1.6748	20,812.8
1,510,588,800,000	1.6741	1.6999	1.634	1.634	5,683.7
1,510,596,000,000	1.6342	1.6595	1.6	1.6408	13,791.03
1,510,603,200,000	1.6628	1.6628	1.6201	1.6243	1,461.41
1,510,610,400,000	1.6628	1.6893	1.6625	1.68	7,738.2
1,510,617,600,000	1.6801	1.7381	1.68	1.7002	21,329.5
1,510,624,800,000	1.6857	1.7002	1.65	1.694	9,092.81
1,510,632,000,000	1.6755	1.6947	1.6699	1.6704	9,266.22
1,510,639,200,000	1.6705	1.6929	1.66	1.6613	7,629.01
1,510,646,400,000	1.6688	1.6688	1.612	1.6355	25,010.4

End of preview. Expand in Data Studio

BNB-USDT 2-Hour Candles

Full-history 2-Hour-resolution OHLCV candlestick data for the BNB-USDT trading pair (BNB), from 2017-11-06T02:00:00Z to 2026-08-13T22:00:00Z (38,386 candles, UTC). Covers the pair's entire listed history from first traded candle to the most recent completed daily session.

Columns

Column	Type	Description
`timestamp`	int64	Candle open time, Unix epoch milliseconds (UTC)
`open`	float	Open price
`high`	float	High price
`low`	float	Low price
`close`	float	Close price
`volume`	float	Base asset volume (BNB)

Each row is one 2h candle. Prices are quoted in USDT.

Data Quality

Timestamps normalized to millisecond precision (UTC), strictly increasing, deduplicated.
OHLC sanity-checked: high >= max(open, close, low) and low <= min(open, close, high).
Missing candles correspond to periods with no traded activity (no candle was produced for those intervals).

Load

from datasets import load_dataset

ds = load_dataset("humblefool06/bnb-usdt-2h-candles", split="train")

Or directly from the JSONL file:

from datasets import load_dataset

ds = load_dataset("json", data_files="data/bnb_usdt_2h.jsonl", split="train")

License

Released under the Creative Commons Attribution 4.0 International license (CC-BY-4.0). You are free to share and adapt this data for any purpose, including commercially, provided you give appropriate credit. Provided as-is, without warranty of any kind.

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